Normalized average responses as linear saliency

Description

Comparing the average response estimates in each condition (High Threat, Low Threat, High Reward and Low Reward) with their normalized counterparts (mean across conditions subtracted from average response of each condition). Reward outcome types (received, missed) are averaged in each condition

from IPython.display import Image

High Threat

Image(filename='HT_combined_PartA.png')

Image(filename='HT_combined_PartB.png')

Low Threat

Image(filename='LT_combined_PartA.png')

Image(filename='LT_combined_PartB.png')

High Reward

Image(filename='HR_combined_PartA.png')

Image(filename='HR_combined_PartB.png')

Low Reward

Image(filename='LR_combined_PartA.png')

Image(filename='LR_combined_PartB.png')